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NAKANO Ryohei  中野 良平

ORCIDConnect your ORCID iD *help
… Alternative Names

中野 良平  ナカノ リョウヘイ

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Researcher Number 90324467
Other IDs
Affiliation (Current) 2025: 中部大学, 工学部, 客員教授
Affiliation (based on the past Project Information) *help 2018: 中部大学, 工学部, 客員教授
2008 – 2017: 中部大学, 工学部, 教授
2006 – 2007: 名古屋工業大学, 工学研究科, 教授
Review Section/Research Field
Principal Investigator
Soft computing / Intelligent informatics / Sensitivity informatics/Soft computing
Except Principal Investigator
Intelligent informatics
Keywords
Principal Investigator
特異領域 / 特異モデル / 機械学習 / 複素ニューラルネット / 多層パーセプトロン / 探索法 / ニューラルネットワーク / モデル選択 / 深層学習 / 特異階段追跡法 … More / link prediction / blog-roll / forest fire model / mixture of communities / information diffusion / network growth / complex network / 混合コミュティモデル / リンク予測 / ブログロール / 山火事モデル / 混合コミュニティモデル / 情報伝播 / ネットの成長 / 複雑ネットワーク / ニューラルネット … More
Except Principal Investigator
トピック抽出 / 情報拡散可視化 / SIS型情報拡散モデル / 影響拡散最大化 / 汚染拡散最小化 / SIR型情報拡散モデル / 意見形成 / トピック伝搬分析 / モデル選択 / 学習アルゴリズム / 複雑ネットワーク科学 / データマイニング / 行動データ分析 / 汚染最小化 / 影響最大化 / 機械学習 / 情報拡散モデル / 社会ネットワーク分析 Less
  • Research Projects

    (5 results)
  • Research Products

    (81 results)
  • Co-Researchers

    (3 People)
  •  Neural Networks Deep Learning Methods Utilizing Singular RegionsPrincipal Investigator

    • Principal Investigator
      NAKANO Ryohei
    • Project Period (FY)
      2016 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Soft computing
    • Research Institution
      Chubu University
  •  Development and Application of Singular Model Search Methods Utilizing Singular RegionsPrincipal Investigator

    • Principal Investigator
      NAKANO Ryohei
    • Project Period (FY)
      2013 – 2015
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Soft computing
    • Research Institution
      Chubu University
  •  Search Method for a Singular Model Taking into AccountSingular Regions in a Search SpacePrincipal Investigator

    • Principal Investigator
      NAKANO Ryohei
    • Project Period (FY)
      2010 – 2012
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Sensitivity informatics/Soft computing
    • Research Institution
      Chubu University
  •  Modeling continuous-time information diffusion process on complex networks

    • Principal Investigator
      KIMURA Masahiro
    • Project Period (FY)
      2008 – 2010
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Intelligent informatics
    • Research Institution
      Ryukoku University
  •  Mathematical Modeling of Complex Networks by Using a Learning ApproachPrincipal Investigator

    • Principal Investigator
      NAKANO Ryohei
    • Project Period (FY)
      2006 – 2007
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Intelligent informatics
    • Research Institution
      Nagoya Institute of Technology

All 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 Other

All Journal Article Presentation Book

  • [Book] Studies in Computational Intelligence 4652013

    • Author(s)
      S. Satoh and R. Nakano
    • Total Pages
      362
    • Publisher
      Springer
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Book] Studies in computational Intelligence 4652013

    • Author(s)
      S.Satoh、R.Nakano
    • Total Pages
      362
    • Publisher
      Springer
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Journal Article] How Learning Methods Influence the Performance of Complex-Valued Multilayer Perceptrons2017

    • Author(s)
      佐藤聖也, 中野良平
    • Journal Title

      電子情報通信学会論文誌D 情報・システム

      Volume: J100-D Issue: 6 Pages: 649-660

    • DOI

      10.14923/transinfj.2016JDP7109

    • ISSN
      1880-4535, 1881-0225
    • Year and Date
      2017-06-01
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K00342
  • [Journal Article] 特異領域を利用した多層パーセプトロン探索法の探索枝刈り2014

    • Author(s)
      佐藤聖也,中野良平
    • Journal Title

      電子情報通信学会論文誌

      Volume: J97-D Pages: 330-340

    • NAID

      110009688472

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-25330294
  • [Journal Article] Fast and stablelearning utilizing singular regions of multilayer perceptron2013

    • Author(s)
      S. Satoh、R. Nakano
    • Journal Title

      Neural Processing Letters

      Volume: - Issue: 2 Pages: 1-17

    • DOI

      10.1007/s11063-013-9283-z

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Journal Article] 複素BFGS法を用いた複素ニューラルネットワークの学習法2013

    • Author(s)
      鈴村真矢、中野良平
    • Journal Title

      電子情報通信学会論文誌

      Volume: Vol.J96-D.No.3

    • NAID

      110009593011

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Journal Article] Error correction of enumerative induction of deterministic context-free L-system grammar2013

    • Author(s)
      R. Nakano
    • Journal Title

      IAENG International Journal of Computer Science

      Volume: Vol. 40 、No. 1

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Journal Article] Multi-directional search from the primitive initial point for Gaussianmixture estimation using variationa lBayes method2010

    • Author(s)
      Y. Ishikawa、I. Takeuchi、R. Nakano
    • Journal Title

      Neural Networks

      Volume: Vol.23、No.3

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Journal Article] Extracting influential nodes on a social network for information diffusion2010

    • Author(s)
      M.Kimura, K.Saito, R.Nakano, H.Motoda
    • Journal Title

      Data Mining and Knowledge Discovery Vol.20(1)

      Pages: 70-97

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20500147
  • [Journal Article] 社会ネットワークにおける有力ノード抽出のための情報拡散モデルの学習2010

    • Author(s)
      木村昌弘、斉藤和巳、中野良平、元田浩
    • Journal Title

      人工知能学会論文誌 Vol.25(1)

      Pages: 215-223

    • NAID

      130000151252

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20500147
  • [Journal Article] 社会ネットワークにおける有力ノード抽出のための情報拡散モデルの学習2010

    • Author(s)
      木村昌弘, 斉藤和巳, 中野良平, 元田浩
    • Journal Title

      人工知能学会論文誌 25(1)

      Pages: 215-223

    • NAID

      130000151252

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20500147
  • [Journal Article] Extracting influential nodes on a social network for information diffusion2010

    • Author(s)
      木村昌弘, 斉藤和巳, 中野良平, 元田浩
    • Journal Title

      Data Mining and Knowledge Discovery 20(1)

      Pages: 70-97

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20500147
  • [Journal Article] Multi-directional search from the primitive initial point for Gaussian mixture estimation using variational Bayes method2010

    • Author(s)
      Y.Ishikawa, I.Takeuchi, R.Nakano
    • Journal Title

      Neural Networks

      Volume: Vol.23, No.3 Pages: 356-364

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Journal Article] Finding influential nodes in a social network from information diffusion data2009

    • Author(s)
      木村昌弘, 斉藤和巳, 中野良平, 元田浩
    • Journal Title

      Social Computing and Behavioral Modeling(Proceedings of SBP2009)

      Pages: 139-145

    • NAID

      40020255597

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20500147
  • [Journal Article] Finding influential nodes in a social network from information diffusion data, Proceedings of the Second Workshop on Social Computing2009

    • Author(s)
      M.Kimura, K.Saito, R.Nakano, H.Motoda
    • Journal Title

      Behavioral Modeling and Prediction (SBP 2009)

      Pages: 139-145

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20500147
  • [Journal Article] Prediction of information diffusion probabilities for independent cascade model2008

    • Author(s)
      Kazumi Saito, Ryohei Nakano, Masahiro Kimura
    • Journal Title

      Lecture Notes in Artificial Intelligence (Proceedings of the 12^<th> International Conference on Knowledge-Based Intelligent Information and Engineering Systems) 5179

      Pages: 67-75

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20500147
  • [Journal Article] Efficient finding of influential nodes from a social network for information diffusion(in Japanese)2008

    • Author(s)
      M. Kimura, K. Saito, R. Nakano
    • Journal Title

      IEICE Trans Vol.J91-D, No.4

      Pages: 1004-1015

    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-18500113
  • [Journal Article] Prediction of information diffusion probabilities for independent cascade model2008

    • Author(s)
      斉藤和巳, 木村昌弘, 中野良平
    • Journal Title

      Lecture Notes in Artificial Intelligence (Proc.of KES 2008) Vol.5179

      Pages: 67-75

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20500147
  • [Presentation] Faster RBF network learning utilizing singular regions2019

    • Author(s)
      Seiya Satoh, Ryohei Nakano
    • Organizer
      ICPRAM 2019 (8th International Conference on Pattern Recognition Applications and Methods)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00342
  • [Presentation] Mixture of multilayer perceptron regressions2019

    • Author(s)
      Ryohei Nakano
    • Organizer
      ICPRAM 2019 (8th International Conference on Pattern Recognition Applications and Methods)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00342
  • [Presentation] A new method for learning RBF networks by utilizing singular regions2018

    • Author(s)
      Seiya Satoh, Ryohei Nakano
    • Organizer
      ICAISC 2018 (17th International Conference on Artificial Intelligence and Soft Computing)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00342
  • [Presentation] Weak dependence on initialization in mixture of linear regressions2018

    • Author(s)
      Ryohei Nakano, Seiya Satoh
    • Organizer
      ICAIA 2018 (International Conference on Artificial Intelligence and Applications)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00342
  • [Presentation] Performance of complex-valued multilayer perceptrons largely depends on learning methods2017

    • Author(s)
      Seiya Satoh, Ryohei Nakano
    • Organizer
      IJCCI 2017 (9th International Joint Conference on Computational Intelligence)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00342
  • [Presentation] 特異階段追跡法を用いたカオス二重振り子の軌道予測2017

    • Author(s)
      小島久幸, 佐藤聖也, 中野良平
    • Organizer
      第15回情報学ワークショップ(WiNF 2017)
    • Data Source
      KAKENHI-PROJECT-16K00342
  • [Presentation] How new information criteria WAIC and WBIC worked for MLP model selection2017

    • Author(s)
      Seiya Satoh, Ryohei Nakano
    • Organizer
      ICPRAM 2017 (6th International Conference on Pattern Recognition Applications and Methods)
    • Place of Presentation
      Porto, Portugal
    • Year and Date
      2017-02-24
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00342
  • [Presentation] 特異領域を利用したRBFネットワーク新学習法2017

    • Author(s)
      佐藤聖也, 中野良平
    • Organizer
      電子情報通信学会技術研究報告 ニューロコンピューティング(NC)研究会
    • Data Source
      KAKENHI-PROJECT-16K00342
  • [Presentation] 特異領域を利用したRBFネットワーク探索法2017

    • Author(s)
      佐藤聖也, 中野良平
    • Organizer
      第15回情報学ワークショップ(WiNF 2017)
    • Data Source
      KAKENHI-PROJECT-16K00342
  • [Presentation] 複素特異階段追跡法の解品質と計算時間の実験評価2016

    • Author(s)
      佐藤聖也, 中野良平
    • Organizer
      計測自動制御学会(システム・情報部門)第9回コンピューテーショナル・インテリジェンス(CI)研究会
    • Place of Presentation
      千葉大学
    • Data Source
      KAKENHI-PROJECT-16K00342
  • [Presentation] How complex-valued multilayer perceptron can predict the behavior of deterministic chaos2016

    • Author(s)
      Seiya Satoh, Ryohei Nakano
    • Organizer
      IJCNN 2016 (International Joint Conference on Neural Networks)
    • Place of Presentation
      Vancouver, Canada
    • Year and Date
      2016-07-25
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25330294
  • [Presentation] How complex-valued multilayer perceptron can predict the behavior of deterministic chaos2016

    • Author(s)
      Seiya Satoh, Ryohei Nakano
    • Organizer
      IJCNN 2016 (the International Joint Conference on Neural Networks)
    • Place of Presentation
      Vancouver, Canada
    • Year and Date
      2016-07-24
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K00342
  • [Presentation] 複素多層パーセプトロンの学習法と非線形性の関係に関する実験評価2016

    • Author(s)
      佐藤聖也, 中野良平
    • Organizer
      第14回情報学ワークショップ(WiNF 2016)
    • Place of Presentation
      愛知県立大学
    • Data Source
      KAKENHI-PROJECT-16K00342
  • [Presentation] 多層パーセプトロンを用いた二重振り子カオス軌道予測2016

    • Author(s)
      小島久幸, 佐藤聖也, 中野良平
    • Organizer
      第14回情報学ワークショップ(WiNF 2016)
    • Place of Presentation
      愛知県立大学
    • Data Source
      KAKENHI-PROJECT-16K00342
  • [Presentation] 複素多層パーセプトロン学習における一層の探索枝刈りの効果2015

    • Author(s)
      佐藤聖也, 中野良平
    • Organizer
      計測自動制御学会(システム・情報部門)第7回コンピューテーショナル・インテリジェンス(CI)研究会
    • Place of Presentation
      東北大学
    • Year and Date
      2015-05-29
    • Data Source
      KAKENHI-PROJECT-25330294
  • [Presentation] 特異階段追跡法の一層の高速化と解品質の改善2015

    • Author(s)
      佐藤聖也, 中野良平
    • Organizer
      電子情報通信学会技術研究報告 ニューロコンピューティング(NC)研究会
    • Place of Presentation
      玉川大学
    • Year and Date
      2015-03-16
    • Data Source
      KAKENHI-PROJECT-25330294
  • [Presentation] 複素多層パーセプトロンを用いたカオス的時系列の予測2015

    • Author(s)
      佐藤聖也, 中野良平
    • Organizer
      計測自動制御学会(システム・情報部門)第8回コンピューテーショナル・インテリジェンス(CI)研究会
    • Place of Presentation
      県立広島大学
    • Year and Date
      2015-12-18
    • Data Source
      KAKENHI-PROJECT-25330294
  • [Presentation] Complex-valued multilayer perceptron learning using singular regions and search pruning2015

    • Author(s)
      Seiya Satoh, Ryohei Nakano
    • Organizer
      IJCNN 2015 (International Joint Conference on Neural Networks)
    • Place of Presentation
      Killarney, Ireland
    • Year and Date
      2015-07-12
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25330294
  • [Presentation] A yet faster version of complex-valued multilayer perceptron learning using singluar regions and search pruning2015

    • Author(s)
      Seiya Satoh, Ryohei Nakano
    • Organizer
      NCTA 2015 (International Conference on Neural Computation Theory and Applications)
    • Place of Presentation
      Lisbon, Protugal
    • Year and Date
      2015-11-12
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25330294
  • [Presentation] 探索枝刈りによる複素多層パーセプトロン探索の高速化2014

    • Author(s)
      佐藤聖也, 中野良平
    • Organizer
      計測自動制御学会(システム・情報部門) 第5回コンピューテーショナル・インテリジェンス(CI)研究会
    • Place of Presentation
      慶応義塾大学日吉キャンパス
    • Year and Date
      2014-07-02
    • Data Source
      KAKENHI-PROJECT-25330294
  • [Presentation] 特異階段追跡法を用いたサンプリング法による多層パーセプトロンモデル選択2013

    • Author(s)
      大脇高之、中野良平
    • Organizer
      電子情報通信学会技術研究報告ニューロコンピューティング研究会
    • Place of Presentation
      北海道大学
    • Year and Date
      2013-01-24
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] Emergent induction of deterministic context-free L-system grammar2013

    • Author(s)
      R. Nakano
    • Organizer
      IBICA 2013 (International Conference on Innovations in BIo-inspired Computing and Applications)
    • Place of Presentation
      Ostrava, Czech Republic
    • Data Source
      KAKENHI-PROJECT-25330294
  • [Presentation] 隠れユニット数の範囲を限定した特異階段追跡法2013

    • Author(s)
      佐藤聖也,中野良平
    • Organizer
      電子情報通信学会技術研究報告 ニューロコンピューティング(NC)研究会
    • Place of Presentation
      岐阜大学
    • Data Source
      KAKENHI-PROJECT-25330294
  • [Presentation] 出力が実数の問題に特化した目的関数を用いた複素多層パーセプトロン探索2013

    • Author(s)
      佐藤聖也,中野良平
    • Organizer
      計測自動制御学会 システム・情報部門学術講演会 2013 (SSI 2013)
    • Place of Presentation
      ピアザ淡海(滋賀・大津)
    • Data Source
      KAKENHI-PROJECT-25330294
  • [Presentation] 得意領域を活用した多層パーセプトロン探索法2013

    • Author(s)
      佐藤聖也、中野良平
    • Organizer
      電子情報通信学会技術研究報告ニューロコンピューティング研究会
    • Place of Presentation
      北海道大学
    • Year and Date
      2013-01-24
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] Multilayer perceptron learning utilizing singular regions and search pruning2013

    • Author(s)
      S. Satoh, R. Nakano
    • Organizer
      ICMLDA 2013 (International Conference on Machine Learning and Data Analysis)
    • Place of Presentation
      Berkeley, USA
    • Data Source
      KAKENHI-PROJECT-25330294
  • [Presentation] 特異階段追跡法を用いたサンプリング法による多層パーセプトロンモデル選択2013

    • Author(s)
      大脇高之、中野良平
    • Organizer
      電子情報通信学会技術研究報告 ニューロコンピューティング研究会
    • Place of Presentation
      北海道大学
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] 複素パラメータ空間の特異領域を利用した複素多層パーセプトロン探索法2013

    • Author(s)
      佐藤聖也,中野良平
    • Organizer
      計測自動制御学会(システム・情報部門) 第3回コンピューテーショナル・インテリジェンス(CI)研究会
    • Place of Presentation
      大阪大学
    • Data Source
      KAKENHI-PROJECT-25330294
  • [Presentation] 特異領域を活用した多層パーセプトロン探索法2013

    • Author(s)
      佐藤聖也、中野良平
    • Organizer
      電子情報通信学会技術研究報告 ニューロコンピューティング研究会
    • Place of Presentation
      北海道大学
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] BFGS法と可約性写像を用いた複素多層パーセプトロン探索法2012

    • Author(s)
      鈴村真矢、中野良平
    • Organizer
      計測自動制御学会第2回コンピューテーショナル・インテリジェンス研究会
    • Place of Presentation
      岡山大学
    • Year and Date
      2012-09-28
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] Complex-valued multilayer perceptron search utilizing eigen vector descent and reducibility mapping2012

    • Author(s)
      S. Suzumura and R. Nakano
    • Organizer
      ICANN 2012 (the 22th International Conference on Artificial Neural Networks)
    • Place of Presentation
      Lausanne, Switzerland
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] Complex- valued multilayer perceptron search utilizing eigen vector descent and reducibility mapping2012

    • Author(s)
      S. Suzumura 、R. Nakano
    • Organizer
      International Conference on Artificial Neural Networks (ICANN) 2012、
    • Place of Presentation
      Lausanne、Switzerland
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] BFGS法と可約性写像を用いた複素多層パーセプトロン探索法2012

    • Author(s)
      鈴村真矢、中野良平
    • Organizer
      第2回コンピューテーショナル・インテリジェンス研究会
    • Place of Presentation
      岡山大学
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] Grammatical induction with error correction for deterministic context-free L-systems2012

    • Author(s)
      R. Nakano and S. Suzumura
    • Organizer
      ICMLDA 2012 (International Conference on Machine Learning and Data Analysis)
    • Place of Presentation
      Berkeley, USA
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] Eigen vector descent and line search for multilayer perceptron2012

    • Author(s)
      S. Satoh、R. Nakano
    • Organizer
      International Conference on Artificial Intelligence and Applications (ICAIA) 2012
    • Place of Presentation
      Hong Kong
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] Eigen vector descent and line search for multilayer perceptron2012

    • Author(s)
      S.Satoh, R.Nakano
    • Organizer
      Proc.of International Conference on Artificial Intelligence and Applications (ICAIA2012), pp.1-6, Hong Kong, March 14-16, 2012
    • Place of Presentation
      Hong Kong
    • Year and Date
      2012-03-16
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] Grammatical induction with error correction fordeterministic context-free L-systems2012

    • Author(s)
      R. Nakano、S. Suzumura
    • Organizer
      International Conference on Machine Learning and Data Analysis (ICMLDA)2012
    • Place of Presentation
      Berkeley、USA
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] 多層パーセプトロンにおける固有ベクトル降下法と直線探索2011

    • Author(s)
      佐藤聖也、中野良平
    • Organizer
      電子情報通信学会技術研究報告ニューロコンピューティング研究会
    • Place of Presentation
      名古屋工業大学
    • Year and Date
      2011-12-20
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] 固有ベクトル降下法と可約性写像を用いた複素多層パーセ プトロン探索法2011

    • Author(s)
      鈴村真矢、中野良平
    • Organizer
      電子情報通信学会技術研究報告ニューロコンピューティング研究会
    • Place of Presentation
      名古屋工業大学
    • Year and Date
      2011-12-20
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] 多層パーセプトロンの特異領域を利用した探索法2011

    • Author(s)
      佐藤聖也、中野良平
    • Organizer
      電子情報通信学会技術成果報告ニューロコンピューティング研究会NC2011-87,pp.19-24, 2011.12.20、名古屋工業大学
    • Place of Presentation
      名古屋工業大学
    • Year and Date
      2011-12-20
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] Learning method utilizing singular region of multilayer perceptron2011

    • Author(s)
      R. Nakano、S. Satoh、T. Ohwaki
    • Organizer
      International Conference on Neural Computation Theory and Applications(NCTA) 2011
    • Place of Presentation
      Paris、France
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] Learning method utilizing singular region of multilayer perceptron2011

    • Author(s)
      R.Nakano, S.Satoh, T.Ohwaki
    • Organizer
      Proc.of International Conference on Neural Computation Theory and Applications (NCTA 2011) pp.106-111, Paris, France, Oct.24-26, 2011
    • Place of Presentation
      Paris, France
    • Year and Date
      2011-10-26
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] 複素多層パーセプ トロンの探索空間と探索法2011

    • Author(s)
      鈴村真矢、 中野良平
    • Organizer
      計測自動制御学会第1回コンピューテーショナル・インテリジェンス研究会
    • Place of Presentation
      京都工芸繊維大学
    • Year and Date
      2011-09-30
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] 複素多層パーセプトロンの探索空間と探索法2011

    • Author(s)
      鈴村真也、中野良平
    • Organizer
      第1回コンピューテーショナル・インテリジェンス研究会「クリフォードニューロコンピューティングを中心として」計測自動制御学会(システム・情報部門),pp.85-91,2011.9.30,京都工芸繊維大学
    • Place of Presentation
      京都工芸繊維大学
    • Year and Date
      2011-09-30
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] 固有ベクトル降下法と可約性写像を用いた複素多層パーセプトロン探索法2011

    • Author(s)
      鈴村真也、中野良平
    • Organizer
      電子情報通信学会技術成果報告ニューロコンピューティング研究会NC2011-88,pp.25-30,2011.12.20、名古屋工業大学
    • Place of Presentation
      名古屋工業大学
    • Year and Date
      2011-12-20
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] Number theory-based induction of deterministic context-free Lsystem grammar2010

    • Author(s)
      R.Nakano, N.Yamada
    • Organizer
      the 2nd International Joint Conf. on Knowledge Discovery, Knowledge Eng. & Knowledge Management (IC3K'10), pp.194-199
    • Place of Presentation
      Valencia, Spain
    • Year and Date
      2010-10-27
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] Number theory-based induction of deterministic context-free L-system grammar2010

    • Author(s)
      R. Nakano、N. Yamada
    • Organizer
      the2nd International Joint Conference onKnowledge Discovery, Knowledge Eng.& Knowledge Management (IC3K)2010
    • Place of Presentation
      Valencia、Spain
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] 多層パーセプトロンの特異領域を利用した探索法2010

    • Author(s)
      佐藤聖也、大脇高之、中野良平
    • Organizer
      電子情報通信学会技術研究報告ニューロコンピューティング研究会
    • Place of Presentation
      名古屋大学
    • Year and Date
      2010-12-19
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] 多層パーセプトロンの特異領域を利用した探索法2010

    • Author(s)
      佐藤聖也、大脇高之、中野良平
    • Organizer
      電子情報通信学会技術研究報告、ニューロコンピューティング(NC)研究会、NC2010-81,pp.85-90
    • Place of Presentation
      名古屋大学
    • Year and Date
      2010-12-19
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] Nominally conditioned linear regression2010

    • Author(s)
      Y. Tanahashi 、R. Nakano、K. Saito
    • Organizer
      International Conference on Artificial Neural Networks (ICANN)2010
    • Place of Presentation
      Thessaloniki、Greece
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] Nominally conditioned linear regression2010

    • Author(s)
      Y.Tanahashi, R.Nakano, K.Saito
    • Organizer
      Proc.of the 20th International Conference on Artificial Neural Networks (ICANN'10), LNCS 6354, pp.290-293
    • Place of Presentation
      Tessaloniki Greece
    • Year and Date
      2010-09-17
    • Data Source
      KAKENHI-PROJECT-22500212
  • [Presentation] 情報拡散データに基づいた社会ネットワークのノードランキング2009

    • Author(s)
      木村昌弘、斉藤和巳、中野良平、元田浩
    • Organizer
      人工知能学会第23回全国大会
    • Place of Presentation
      香川県、サンポートホール高松
    • Year and Date
      2009-06-18
    • Data Source
      KAKENHI-PROJECT-20500147
  • [Presentation] コメント情報に基づくブログ空間の情報伝搬分析2009

    • Author(s)
      伊藤政志, 木村昌弘, 斉藤和巳, 中野良平, 元田浩
    • Organizer
      第5回ネットワーク生態学シンポジウム (情報処理学会)
    • Place of Presentation
      沖縄国際大学
    • Year and Date
      2009-03-09
    • Data Source
      KAKENHI-PROJECT-20500147
  • [Presentation] 情報拡散データに基づいた社会ネットワークのノードランキング2009

    • Author(s)
      木村昌弘, 斉藤和巳, 中野良平, 元田浩
    • Organizer
      人工知能学会第23回全国大会
    • Place of Presentation
      サンポートホール高松
    • Year and Date
      2009-06-18
    • Data Source
      KAKENHI-PROJECT-20500147
  • [Presentation] Approximate solution to an influence maximization problem in a social network(in Japanese)2007

    • Author(s)
      M. Kimura, K. Saito, R. Nakano
    • Organizer
      Proc of the 3rd network ecology symposium
    • Place of Presentation
      Chuo Univ
    • Year and Date
      2007-03-16
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-18500113
  • [Presentation] Extracting influential nodes for Information diffusion on a social network2007

    • Author(s)
      M, Kimura, K. Saito, R. Nakano
    • Organizer
      Proc. of the 22nd Conference on Artificial Intelligence (AAAI 2007)
    • Place of Presentation
      Vancouver, Canada
    • Year and Date
      2007-07-25
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-18500113
  • [Presentation] Prediction of link attachment by Estimating probabilities of information propagation2007

    • Author(s)
      K. Saito, R. Nakano, M. Kimura
    • Organizer
      Proc. of the 11th International Conference on Knowledge-based Intelligent Information and Engineering Systems, (KES2007)
    • Place of Presentation
      Vietri Sul Mare, Italy
    • Year and Date
      2007-09-14
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-18500113
  • [Presentation] Improving convergence performance of PageRank computation based on step-length calculation approach2006

    • Author(s)
      K. Saito, R. Nakano
    • Organizer
      Proc of the 10th International Conference on Knowledge-based Intelligent Information and Engineering Systems (KES2006)
    • Place of Presentation
      Bournemouth, UK
    • Year and Date
      2006-10-10
    • Description
      「研究成果報告書概要(欧文)」より
    • Data Source
      KAKENHI-PROJECT-18500113
  • [Presentation] Emergent induction of L-system grammar from a string with deletion-type transmutation

    • Author(s)
      Ryohei Nakano
    • Organizer
      KDIR 2014 (the 6th International Conference on Knowledge Discovery and Information Retrieval)
    • Place of Presentation
      Rome, Italy
    • Year and Date
      2014-10-21 – 2014-10-24
    • Data Source
      KAKENHI-PROJECT-25330294
  • [Presentation] Complex-valued multilayer perceptron learning using singular regions and search pruning

    • Author(s)
      Seiya Satoh, Ryohei Nakano
    • Organizer
      IJCNN2015 (the International Joint Conference on Neural Networks)
    • Place of Presentation
      Killarney, Ireland
    • Year and Date
      2015-07-12 – 2015-07-17
    • Data Source
      KAKENHI-PROJECT-25330294
  • [Presentation] Complex-valued multilayer perceptron search utilizing singular regions of complex-valued parameter space

    • Author(s)
      Seiya Satoh, Ryohei Nakano
    • Organizer
      ICANN 2014 (the 24th International Conference on Artificial Neural Networks)
    • Place of Presentation
      Hamburg, Germany
    • Year and Date
      2014-09-15 – 2014-09-19
    • Data Source
      KAKENHI-PROJECT-25330294
  • [Presentation] 複素特異階段追跡法の解品質の改善

    • Author(s)
      佐藤聖也, 中野良平
    • Organizer
      計測自動制御学会 システム・情報部門学術講演会 2014 (SSI 2014)
    • Place of Presentation
      岡山大学
    • Year and Date
      2014-11-21 – 2014-11-23
    • Data Source
      KAKENHI-PROJECT-25330294
  • [Presentation] Singularity stairs following with limited numbers of hidden units

    • Author(s)
      Seiya Satoh, Ryohei Nakano
    • Organizer
      NCTA 2014 (the 6th International Conference on Neural Computation Theory and Applications)
    • Place of Presentation
      Rome, Italy
    • Year and Date
      2014-10-22 – 2014-10-24
    • Data Source
      KAKENHI-PROJECT-25330294
  • 1.  KIMURA Masahiro (10396153)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 15 results
  • 2.  SAITO Kazumi (80379544)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 16 results
  • 3.  KITAKOSHI Daisuke (50378238)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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